awesome-chatgpt-prompts

This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.5547
• Accuracy: 0.8529

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	22	5.0877	0.0
No log	2.0	44	5.0575	0.1176
No log	3.0	66	5.0081	0.0882
No log	4.0	88	4.9152	0.4118
No log	5.0	110	4.8314	0.5294
No log	6.0	132	4.7514	0.6471
No log	7.0	154	4.6622	0.7059
No log	8.0	176	4.6092	0.7941
No log	9.0	198	4.5691	0.8529
No log	10.0	220	4.5547	0.8529

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0